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Jake Mannix commented on MAHOUT-237: ------------------------------------ Given the following code in PartialVectorGenerator: {code} for (Entry<String,MutableInt> pair : termFrequency.entrySet()) { String tk = pair.getKey(); if (dictionary.containsKey(tk) == false) continue; vector.setQuick(dictionary.get(tk).intValue(), pair.getValue().doubleValue()); } assert (vector.getNumNondefaultElements() == termFrequency.size()); {code} Why is this assert expected to pass? If there are dictionary.containsKey(tk) ever returns true, this will fail... > Map/Reduce Implementation of Document Vectorizer > ------------------------------------------------ > > Key: MAHOUT-237 > URL: https://issues.apache.org/jira/browse/MAHOUT-237 > Project: Mahout > Issue Type: New Feature > Affects Versions: 0.3 > Reporter: Robin Anil > Assignee: Robin Anil > Fix For: 0.3 > > Attachments: DictionaryVectorizer.patch, DictionaryVectorizer.patch, > DictionaryVectorizer.patch, DictionaryVectorizer.patch, > DictionaryVectorizer.patch, SparseVector-VIntWritable.patch > > > Current Vectorizer uses Lucene Index to convert documents into SparseVectors > Ted is working on a Hash based Vectorizer which can map features into Vectors > of fixed size and sum it up to get the document Vector > This is a pure bag-of-words based Vectorizer written in Map/Reduce. > The input document is in SequenceFile<Text,Text> . with key = docid, value = > content > First Map/Reduce over the document collection and generate the feature counts. > Second Sequential pass reads the output of the map/reduce and converts them > to SequenceFile<Text, LongWritable> where key=feature, value = unique id > Second stage should create shards of features of a given split size > Third Map/Reduce over the document collection, using each shard and create > Partial(containing the features of the given shard) SparseVectors > Fourth Map/Reduce over partial shard, group by docid, create full document > Vector -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.